CNN-based TEM image denoising from first principles

Jinwoong Chae, Sungwook Hong, Sungkyu Kim +2

Transmission electron microscope (TEM) images are often corrupted by noise, hindering their interpretation. To address this issue, we propose a deep learning-based approach using s…